Category: Strategy & Governance
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A Taxonomy of Agentic AI
The evolution of AI agents, particularly since 2024, has shifted from marketing hype to practical applications across various levels of capability. AI agents, defined as large language model-based applications, perform semi-autonomous tasks using code. This taxonomy categorises AI agents from simple code-using chatbots to complex teams executing multi-faceted projects, highlighting their growing significance in educational…
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You Don’t Need an AI Policy
On Friday I told a room full of school leaders that they didn’t need an AI policy, you could hear a pin drop — right up until the point people started to laugh and nod their heads. I was speaking with members of Independent Primary School Heads of Australia (IPSHA), in a series of sessions…
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What Curriculum Leaders Need to Know About AI in 2026
Most of the AI professional development I see in schools is aimed at everyone. Whole-staff sessions covering the basics: how to use GenAI, how to write a prompt, some tools you might find useful… At the other end of the scale, you see policy sessions aimed at ICT and Business Managers, executive teams, and boards.…
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From Schools to Universities: Unpacking Australia’s New Framework for AI in Higher Education
A critical comparison of Australia’s 2025 Higher Education AI Framework and the K-12 Schools Framework. Exploring key differences in equity, Indigenous knowledges, and regulatory backing.
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What the National AI Plan Means for Schools
The Australian National AI Plan 2025 has significant implications for schools. Here’s what educators need to know about policy, procurement, professional development, and 2026 planning.
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We Will Not Let OpenAI Write Our Education Policy
Yesterday, OpenAI released an “Economic Blueprint” for Australia. I have no idea whether somebody in our government asked for this, or what conversations have been held behind closed doors: I just know that we neither want, nor need OpenAI to insinuate itself into our policymaking.
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Design Refine Create: A Framework for GenAI Curriculum Design
For the past few weeks, I’ve been exploring ways that educators can take back control of generative artificial intelligence. As part of curriculum design, I started with reflections on how I use multimodal generative AI myself when designing my blogs on education and resources. Then, I took a brief side step into EdTech application design…
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AI Policy Toolkit: Transparency Checklist
I have assisted numerous schools in Australia and abroad in developing their Generative AI Guidelines using national and international resources. The Australian Framework emphasizes transparency, outlining a practical checklist for schools to follow. By prioritizing open communication, ethical considerations, and ongoing evaluation, schools can align with best practices and ensure responsible AI implementation.
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GenAI Strategy: Evaluate and Communicate
This is the fifth installment in a series on generative AI strategy for educators. The focus is on evaluating the impact of AI on education, synthesising feedback with AI tools, and updating the faculty’s vision accordingly. The strategy emphasises ethical and responsible AI integration, continuous evaluation, and sharing findings with the broader community.
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GenAI Strategy: Update your Assessments
This series addresses developing generative AI strategy in education. The AI Assessment Scale, covering No AI to Full AI, is introduced for integrating AI responsibly. An audit tool is proposed to align existing assessments with the scale, preparing for potential adaptations. A pilot implementation approach is recommended before full adoption, stressing the importance of managing…